background-image: url(data:image/png;base64,#photos/alina-grubnyak-ZiQkhI7417A-unsplash.jpg) background-size: cover class: left, bottom <style type="text/css"> code.r.hljs.remark-code { position: relative; overflow-x: hidden; } code.r.hljs.remark-code:hover { overflow-x: visible; width: 500px; border-style: solid; } </style> .my-black[ # NYC Campaign Finance Network Analysis **Natalie O'Shea and Millie Olivia Symns** **BetaNYC | March 6, 2022** ] --- # QUICK NOTES #### This is a skeleton draft of the content for the slides Ideas on flow: - Introduction of us - Layout Agenda - Background story to why we are here today - Going over the basics of network analysis - Quick breakdown on our tool of choice - R, RStudio Cloud? - Live coding/walkthrough of Rmd - Free exploration time? - Closing remarks/conclusions + questions - Thank you slide with contact information Proposed presentation flow: - Natalie --> intro, agenda, backstory - Millie --> basics explainations, set up intructions - Natalie --> Live coding while Millie --> work around the room - Millie --> future inspirations - Natalie --> closing + thank you --- class: transition-gradient-green, center, middle .pull-left[ .my-white[ ### Natalie O'Shea <br> #### Fact #1 #### Fact #2 #### Fact #3 ] ] .pull-right[ ### Millie O. Symns <img src="data:image/png;base64,#photos/msymns_square_profile.jpg" width="50%" style="display: block; margin: auto;" /> <br> #### Data Analytics + Education Researcher #### Using R for 3+ years #### Brooklyn Native ] --- class: transition-gradient-green, left, middle .pull-left[ .my-white[ ## Agenda #### 20 Mins (1:00 - 1:20 PM) - Introductions + Background to R + RStudio Cloud Setup - Technical Setup (R, RStudio Cloud) #### 50 mins (1:20 - 2:10 PM) - Defining Network Analysis - Walkthrough #### 20 mins (2:10 - 2:30 PM) - Exploration time - Closing remarks ] ] .pull-right[ <div class="figure" style="text-align: center"> <img src="data:image/png;base64,#photos/ahorst_welcome_to_rstats_twitter.png" alt="Artwork by Allison Horst" width="100%" /> <p class="caption">Artwork by Allison Horst</p> </div> ] --- ### Technical Set up Fill in any details about making sure all systems are set (whether markdown or R script) and using the cloud. --- ### Tell a story - Why are we doing this today? - What are the questions or problems we are hoping to solve? --- ## What is a network analysis? -- #### Wikipedia defines it as > the process of investigating social structures through the use of networks and graph theory. -- #### Simply stating ... -- .my-green[ ### You're looking at relationships between people (or organizations) and creating visuals to represent it ] -- This is done with some - data, - little bit of statistics, - and graphing --- class: transition-slide-green, center, middle .my-white[ ## Let's go over some terms you will hear and see today ] --- ## Social Network Terms .pull-left[ <div class="figure" style="text-align: center"> <img src="data:image/png;base64,#photos/nodes_and_edges.png" alt="from Builtin Article" width="75%" /> <p class="caption">from Builtin Article</p> </div> ] .pull-right[ ### Nodes (the dots) > the people in your network ### Edges (the lines) > the connections between people ### Centrality Measures (the stat) > measures how important or influencial the node (person) in relation to the network ] For details check out this helpful article: https://builtin.com/data-science/social-network-analysis --- ## R Terms .pull-left[ #### Libraries or Packages ```r library(tidyverse) library(igraph) library(ggraph) ``` > A place where functions are held that will be use in our code #### RMarkdown (Rmd) [or Script] > A place where code is written and can execute (run) --> OTHER NOTES TO REMOVE - describe how R is our tool of choice for analysis - R community and subcommunites - Describe tools being used ] .pull-right[ <div class="figure" style="text-align: center"> <img src="data:image/png;base64,#photos/ahorst_heartyr.gif" alt="Artwork by Allison Horst" width="75%" /> <p class="caption">Artwork by Allison Horst</p> </div> ] --- class: transition-slide-green, center, middle .my-white[ ## Time to do a walkthrough! ] --- ## Network Analysis Inspiration Look for data sets that records actions from people. Some examples include: - Reviews on products - Voting - Social media connections For NYC Open Data: We created a data set collection using [Scout](https://scout.tsdataclinic.com/about) as a starting point for some inspriation to do your own network analysis. Link: https://scout.tsdataclinic.com/collection/Network%20Analysis%20Inspo/3khw-qi8f,djnb-wcxt,m6nq-qud6 --- class: transition-slide-green, center, middle .my-white[ ## Time to explore! ] --- ## Thank you! It was lovely having you today! Feel free to connect with us :) .pull-left[ ### Natalie O'Shea #### Twitter: @_natalie_oshea #### Website: https://natalieoshea.github.io/website/ ] .pull-right[ ### Millie O. Symns #### Twitter: @millieosymns #### Website: https://milliesymns.com ]